PROJECT TITLE :

A Probabilistic Method for Estimating the Sharing of Identity by Descent for Populations with Migration

ABSTRACT:

The inference of demographic history of populations is a vital undertaking in population genetics. Some recent studies have developed identity-by-descent (IBD) primarily based methods to reveal the signature of the comparatively recent historical events. Notably, Pe'er and his colleagues have introduced a novel technique (named PIBD here) by using IBD sharing to infer effective population size and migration rate. However, beneath island model, PIBD neglects the coalescent data before the time to the most recent common ancestor (tMRCA) that leads to apparent deviations in certain things. In this paper, we tend to propose a replacement method, MIBD, by adopting a Markov process to explain the island model and develop a new formula for estimating IBD sharing. The new formula considers the coalescent info before tMRCA and therefore the joint effect of the coalescent and migration events. We have a tendency to apply both MIBD and PIBD to the genome-wide information of 2 human populations (Palestinian and Bedouin) obtained from the HGDP-CEPH database, and demonstrate that MIBD is competitive to PIBD. Our simulation analyses additionally show that the results of MIBD are a lot of accurate than those of PIBD particularly within the case of little effective population size.


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